Applying Check-In Data and User Profiles to Identify Optimal Store Locations in a Road Network

Yen Hsun Lin, Yi Chung Chen, Sheng Min Chiu, Chiang Lee, Fu Cheng Wang

研究成果: Article同行評審

1 引文 斯高帕斯(Scopus)

摘要

Spatial information analysis has gained increasing attention in recent years due to its wide range of applications, from disaster prevention and human behavioral patterns to commercial value. This study proposes a novel application to help businesses identify optimal locations for new stores. Optimal store locations are close to other stores with similar customer groups. However, they are also a suitable distance from stores that might represent competition. The style of a new store also exerts a significant effect. In this paper, we utilized check-in data and user profiles from location-based social networks to calculate the degree of influence of each store in a road network on the query user to identify optimal new store locations. As calculating the degree of influence of every store in a road network is time-consuming, we added two accelerating algorithms to the proposed baseline. The experiment results verified the validity of the proposed approach.

原文English
文章編號314
期刊ISPRS International Journal of Geo-Information
11
發行號5
DOIs
出版狀態Published - 2022 5月

All Science Journal Classification (ASJC) codes

  • 地理、規劃與發展
  • 地球科學電腦
  • 地球與行星科學(雜項)

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